Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 69-85 |
| Seitenumfang | 17 |
| Fachzeitschrift | International Journal of Reliability and Safety |
| Jahrgang | 12 |
| Ausgabenummer | 1-2 |
| Frühes Online-Datum | 23 Juni 2018 |
| Publikationsstatus | Veröffentlicht - 2018 |
Abstract
The steadily growing traffic loading may become a hazard for the bridge safety. Compared to short and medium span bridges, long-span bridges suffer from simultaneous presence of multiple vehicle loads. This study presents an approach for extrapolating probabilistic extreme effects on long-span bridges based on weigh-in-motion (WIM) measurements. Three types of stochastic traffic load models are simulated based on the WIM measurements of a highway in China. The level-crossing rate of each stochastic traffic load is evaluated and integrated for extrapolating extreme traffic load effects. The probability of exceedance of a cable-stayed bridge is evaluated considering a linear traffic growth model. The numerical results show that the superposition of crossing rates is effective and feasible to model the probabilistic extreme effects of long-span bridges under the actual traffic loads. The increase of dense traffic flows is sensitive to the maximum load effect extrapolation. The dense traffic flow governs the limit state of traffic load on long-span bridges.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
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in: International Journal of Reliability and Safety, Jahrgang 12, Nr. 1-2, 2018, S. 69-85.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Extrapolation of extreme traffic load effects on a cable-stayed bridge based on weigh-in-motion measurements
AU - Lu, Naiwei
AU - Liu, Yang
AU - Beer, Michael
PY - 2018
Y1 - 2018
N2 - The steadily growing traffic loading may become a hazard for the bridge safety. Compared to short and medium span bridges, long-span bridges suffer from simultaneous presence of multiple vehicle loads. This study presents an approach for extrapolating probabilistic extreme effects on long-span bridges based on weigh-in-motion (WIM) measurements. Three types of stochastic traffic load models are simulated based on the WIM measurements of a highway in China. The level-crossing rate of each stochastic traffic load is evaluated and integrated for extrapolating extreme traffic load effects. The probability of exceedance of a cable-stayed bridge is evaluated considering a linear traffic growth model. The numerical results show that the superposition of crossing rates is effective and feasible to model the probabilistic extreme effects of long-span bridges under the actual traffic loads. The increase of dense traffic flows is sensitive to the maximum load effect extrapolation. The dense traffic flow governs the limit state of traffic load on long-span bridges.
AB - The steadily growing traffic loading may become a hazard for the bridge safety. Compared to short and medium span bridges, long-span bridges suffer from simultaneous presence of multiple vehicle loads. This study presents an approach for extrapolating probabilistic extreme effects on long-span bridges based on weigh-in-motion (WIM) measurements. Three types of stochastic traffic load models are simulated based on the WIM measurements of a highway in China. The level-crossing rate of each stochastic traffic load is evaluated and integrated for extrapolating extreme traffic load effects. The probability of exceedance of a cable-stayed bridge is evaluated considering a linear traffic growth model. The numerical results show that the superposition of crossing rates is effective and feasible to model the probabilistic extreme effects of long-span bridges under the actual traffic loads. The increase of dense traffic flows is sensitive to the maximum load effect extrapolation. The dense traffic flow governs the limit state of traffic load on long-span bridges.
KW - Bridge
KW - Extreme value
KW - Level-crossing theory
KW - Probability of exceedance
KW - Traffic load
KW - Weigh-in-motion
UR - http://www.scopus.com/inward/record.url?scp=85049108812&partnerID=8YFLogxK
U2 - 10.1504/IJRS.2018.092504
DO - 10.1504/IJRS.2018.092504
M3 - Article
AN - SCOPUS:85049108812
VL - 12
SP - 69
EP - 85
JO - International Journal of Reliability and Safety
JF - International Journal of Reliability and Safety
SN - 1479-389X
IS - 1-2
ER -